scholarly article | Q13442814 |
P8978 | DBLP publication ID | journals/bmcbi/GilchristQZ07 |
P6179 | Dimensions Publication ID | 1026347749 |
P356 | DOI | 10.1186/1471-2105-8-403 |
P932 | PMC publication ID | 2217564 |
P698 | PubMed publication ID | 17945026 |
P5875 | ResearchGate publication ID | 5900685 |
P2093 | author name string | Michael A Gilchrist | |
Hong Qin | |||
Russell Zaretzki | |||
P2860 | cites work | Post-transcriptional expression regulation in the yeast Saccharomyces cerevisiae on a genomic scale. | Q52966522 |
Genome-wide analysis of mRNA lengths in Saccharomyces cerevisiae | Q21194865 | ||
Bayesian model accounting for within-class biological variability in Serial Analysis of Gene Expression (SAGE). | Q24792211 | ||
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The significance of digital gene expression profiles | Q29614357 | ||
Saccharomyces Genome Database (SGD) provides tools to identify and analyze sequences from Saccharomyces cerevisiae and related sequences from other organisms | Q29619138 | ||
Gene expression profiles in normal and cancer cells | Q29619943 | ||
A high-resolution map of transcription in the yeast genome | Q30014822 | ||
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Can transcriptome size be estimated from SAGE catalogs? | Q30889243 | ||
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Modeling Sage data with a truncated gamma-Poisson model | Q31034707 | ||
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Statistical modeling of sequencing errors in SAGE libraries | Q31096238 | ||
Bayesian shrinkage estimation of the relative abundance of mRNA transcripts using SAGE. | Q33194608 | ||
General statistics of stochastic process of gene expression in eukaryotic cells. | Q34615557 | ||
SAGE transcript profiles for p53-dependent growth regulation | Q41092725 | ||
Using credibility intervals instead of hypothesis tests in SAGE analysis | Q48567994 | ||
P275 | copyright license | Creative Commons Attribution 2.0 Generic | Q19125117 |
P6216 | copyright status | copyrighted | Q50423863 |
P304 | page(s) | 403 | |
P577 | publication date | 2007-10-18 | |
P1433 | published in | BMC Bioinformatics | Q4835939 |
P1476 | title | Modeling SAGE tag formation and its effects on data interpretation within a Bayesian framework | |
P478 | volume | 8 |
Q30822033 | A Bayesian Semi-parametric Approach for the Differential Analysis of Sequence Counts Data. |
Q33529302 | Bias correction and Bayesian analysis of aggregate counts in SAGE libraries |
Q33372457 | Clustering-based approaches to SAGE data mining |
Q39892179 | Quantification of the yeast transcriptome by single-molecule sequencing |
Q26991596 | The analytical landscape of static and temporal dynamics in transcriptome data |
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